{"id":"W1779144378","doi":"10.1609/aimag.v36i3.2598","title":"Innovative Applications of Artificial Intelligence 2014","year":2015,"lang":"en","type":"article","venue":"AI Magazine","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science; Work (physics); Applications of artificial intelligence; Data science; Artificial intelligence; Engineering; Engineering management; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002716576,0.001099488,0.0008579922,0.003948478,0.001611288,0.009983684,0.001366886,0.00268765,0.08046217],"category_scores_gemma":[0.006593887,0.0004841928,0.0009909596,0.002932678,0.001832917,0.003878621,0.002114532,0.00511602,0.02981901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003945238,"about_ca_system_score_gemma":0.003163551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001840042,"about_ca_topic_score_gemma":0.006139893,"domain_scores_codex":[0.997838,0.0002056708,0.0001160725,0.0001747886,0.001503363,0.00016214],"domain_scores_gemma":[0.9952425,0.001390782,0.0002453378,0.0003243974,0.001968792,0.0008282861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000172109,0.00003910416,0.0002054626,0.0003089065,0.0000164837,0.0000495953,0.00008419382,0.0001021903,0.0003088245,0.01717922,0.8820519,0.09963695],"study_design_scores_gemma":[0.000002441061,0.000009229713,0.0003653994,0.0001859082,0.000005597335,0.00007028795,0.0000481627,0.00008963905,0.00008517171,0.003861482,0.9952695,0.000007155797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001323664,0.1930031,0.005181748,0.09705354,0.2197913,0.0001252859,0.0006207127,0.0007621875,0.4821384],"genre_scores_gemma":[0.01140269,0.1589743,0.0033747,0.01890434,0.1275931,0.0001046631,0.0009090647,0.0004645152,0.6782726],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.08046217,"threshold_uncertainty_score":0.2691728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05761745417593089,"score_gpt":0.3349686593788747,"score_spread":0.2773512052029438,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}